Building information modelling (BIM) adoption amongst larger construction firms and innovators seems to be on the increase. However, there is evidence to suggest that small and medium sized enterprises (SMEs) are currently lagging behind and are losing out in winning publicly funded projects. Guidance and frameworks to assist SMEs to make an informed decision about BIM adoption are currently lacking. There has been no systematic effort to date to bring together the results of research in SMEs' BIM adoption. Consequently, this paper seeks to bridge this gap and provide a conceptual framework to give a theoretical foundation to the study of brokering risks and rewards in the adoption of BIM for project delivery. This framework is comprehensive and includes trading off risks and rewards associated with several criteria, such as stage of involvement, project value, funding, and the procurement route chosen. The approach has been validated by a representative sample of BIM users and the findings of the validation are also presented. The findings of the framework validation reveal that early design stage, project size between £5 m and £50 m, private funding, and integrated project delivery procurement are the best opportunities that enable SMEs to maximise the benefits and minimise the risks, when adopting BIM. City, Viet Nam. His research interests include investigating the influences of information technology on innovation and improvement in business, education and the construction industry. He is currently examining the risks and rewards that SMEs may face when they adopt Building Information Modelling (BIM) to deliver construction projects.Lamine MAHDJOUBI. He is Professor of ICT in Built Environment and Director of the Centre for Architecture and Built Environment Research at the University of the West England, Bristol. He leads the interdisciplinary Building Information Modelling Research Group. One of the key interests is developing the next generation of BIM methods and tools for SMEs. He has extensive experience in developing novel computer-based simulation techniques, and design decision-support tools to examine user-built environment interaction. His research on developing a new generation of BIM methods and tools led to the creation of novel virtual prototyping techniques, the development of an improved methodology for spatial planning, and a series of tools for evaluation, visualisation and optimisation of design solutions.
Building Information Modelling (BIM) is a revolutionary technology and process which has led to new ways of thinking and working in construction project delivery. Governments around the world are promoting BIM capacity to eliminate waste on public projects and even mandating its use as part of the reform of the public construction sector and cost-saving strategy. In the UK, the government has declared that no public projects can be accepted without using BIM by 2016. Evidence shows that BIM adoption among small and medium sized enterprises (SMEs) is currently lagging behind and they are losing out in wining publicly funded projects. There are existing sets of frameworks and matrixes developed to assist BIM implementation. However, guidance and frameworks for SMEs are lacking at the present time. This paper reports on criteria and framework as a part of an ongoing study that seeks to develop a web-based Decision Support System (DSS) to assist SMEs to broker risks and rewards of adopting BIM in project delivery. The paper presents the framework and its criteria of the proposed DSS assists SMEs to make informed decisions about whether or not use BIM to deliver building projects, according to specific criteria and queries. This includes tradeoff risks and rewards, broken down into several criteria such as BIM readiness, involvement stage, project value, funding and procurement route.
During the design phase of construction projects, professionals seldom consider implications of design choices in terms of the ease with which it can be constructed. This contributes to wastage when chosen design features and materials result in the use of inefficient construction production and assembly methods. In order to bridge this gap, this study provides an approach for incorporating production knowledge and data into Building Information Models (BIM) to support optimization of building designs in terms of the efficiencies associated with their onsite production. A building design assessment system is developed to aid selection of alternative building design elements and materials in a digital prototype before they are actually constructed. The assessment system relies on an index derived from production knowledge or data related to ease of assemble, speed of assemble and the waste associated with the assembly or construction of a building element or material. This paper presents the identification and prioritisation of criteria for the development of the index for optimal selection of building envelope systems. The criteria were reviewed by an expert panel (n=25) who provided weightings of criteria importance through a voting analytic hierarchy process (VAHP). A schema for implementation through the extension of BIM with external assessment index logic is also presented. The practicality of the system as an indicator of the efficiency with which a design can be built or constructed, provides a solution for leveraging production knowledge and data to improve design in terms of its buildability thereby reducing waste associated with inefficient construction and sometimes redesign or late substitution of materials.
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